33 citations · 103 across the 20 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.GT2016
An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling
Yuqing Kong, Grant Schoenebeck
In the setting where information cannot be verified, we propose a simple yet powerful information theoretical framework---the Mutual Information Paradigm---for information elicitat…
cs.GT2016★ 14 cited
Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity
Yuqing Kong, Grant Schoenebeck
Peer-prediction is a mechanism which elicits privately-held, non-variable information from self-interested agents---formally, truth-telling is a strict Bayes Nash equilibrium of th…
cs.GT2016★ 19 cited
Putting Peer Prediction Under the Micro(economic)scope and Making Truth-telling Focal
Yuqing Kong, Grant Schoenebeck, Katrina Ligett
Peer-prediction is a (meta-)mechanism which, given any proper scoring rule, produces a mechanism to elicit privately-held, non-verifiable information from self-interested agents. F…